Triple

T21724152
Position Surface form Disambiguated ID Type / Status
Subject Contra la corriente E536233 entity
Predicate recordLabel P1500 FINISHED
Object RMM Records NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: RMM Records | Statement: [Contra la corriente, recordLabel, RMM Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RMM Records
Context triple: [Contra la corriente, recordLabel, RMM Records]
  • A. RMM Records chosen
    RMM Records was a prominent Latin music record label known for popularizing salsa and other tropical genres, particularly through artists like Marco Antonio Muñiz.
  • B. Ramseur Records
    Ramseur Records is an independent American record label known for promoting roots, folk, and Americana artists.
  • C. Rostrum Records
    Rostrum Records is an independent American record label best known for launching the careers of artists like Wiz Khalifa and Mac Miller.
  • D. Sarm Records
    Sarm Records is a British record label associated with producer Trevor Horn and known for releasing influential new wave and pop acts, including The Buggles.
  • E. Roost Records
    Roost Records was a mid-20th-century American jazz record label known for releasing influential recordings by prominent bebop musicians such as Bud Powell.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0c46d3284819099a4f9d5a704eb95 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efd9722ce881909372fd0f1b15d242 completed April 27, 2026, 9:47 p.m.
Created at: April 16, 2026, 6:48 p.m.